Evidence map›Paper›PMID 35358194›Full record

ArticlePloS one2022

Prediction of the potential geographical distribution of Betula platyphylla Suk. in China under climate change scenarios.

Wenliang Geng, Yanyan Li, Dongqi Sun, Bin Li, Pengyan Zhang, Hao Chang, Tianqi Rong, Ying Liu, Jingwen Shao, Zhenyue Liu and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
7.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Proceedings of the National Academy of Sciences of the United States of America · 2026
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  4. Predicting the global distribution ofFrontiers in plant science · 2026
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  5. Article
  6. Review
  7. Article
  8. Article
  9. Systematic Analysis of thePlants (Basel, Switzerland) · 2025
    Article
  10. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Wenliang GengKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, College of Environment and Planning, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng, China.
Yanyan LiKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, College of Environment and Planning, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng, China.
Dongqi SunInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijng, China.
Bin LiKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, College of Environment and Planning, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng, China.
Pengyan ZhangKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, College of Environment and Planning, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng, China.ORCID 0000-0003-4252-709X
Hao ChangKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, College of Environment and Planning, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng, China.
Tianqi RongKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, College of Environment and Planning, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng, China.
Ying LiuKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, College of Environment and Planning, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng, China.
Jingwen ShaoKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, College of Environment and Planning, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng, China.
Zhenyue LiuKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, College of Environment and Planning, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng, China.
Huiru ZhuKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, College of Environment and Planning, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng, China.
Yuanyuan LouKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, College of Environment and Planning, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng, China.
Qianqian WangKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, College of Environment and Planning, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng, China.
Jinbing ZhangKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, College of Environment and Planning, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan University, Kaifeng, China.
Henan University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate is a dominant factor affecting the potential geographical distribution of species. Understanding the impact of climate change on the potential geographic distribution of species, which is of great significance to the exploitation, utilization, and protection of resources, as well as ecologically sustainable development. Betula platyphylla Suk. is one of the most widely distributed temperate deciduous tree species in East Asia and has important economic and ecological value. Based on 231 species distribution data points of Betula platyphylla Suk. in China and 37 bioclimatic, soil, and topography variables (with correlation coefficients < 0.75), the potential geographical distribution pattern of Betula platyphylla Suk. under Representative Concentration Pathway (RCP) climate change scenarios at present and in the 2050s and 2070s was predicted using the MaxEnt model. We analyzed the main environmental variables affecting the distribution and change of suitable areas and compared the scope and change of suitable areas under different climate scenarios. This study found: (1) At present, the main suitable area for Betula platyphylla Suk. extends from northeastern to southwestern China, with the periphery area showing fragmented distribution. (2) Annual precipitation, precipitation of the warmest quarter, mean temperature of the warmest quarter, annual mean temperature, and precipitation of the driest month are the dominant environmental variables that affect the potential geographical distribution of Betula platyphylla Suk. (3) The suitable area for Betula platyphylla Suk. is expected to expand under global warming scenarios. In recent years, due to the impact of diseases and insect infestation, and environmental damage, the natural Betula platyphylla Suk. forest in China has gradually narrowed. This study accurately predicted the potential geographical distribution of Betula platyphylla Suk. under current and future climate change scenarios, which can provide the scientific basis for the cultivation, management, and sustainable utilization of Betula platyphylla Suk. resources.

Indexed as

Climate ChangeEcosystemBetulaChina

Identifiers

PMID35358194
PMCPMC8970525
OpenAlexW4221065542

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.